congrats_generator

Generator of the congratulations via web interface with web-scraper.

The generator originally works with pretrained model sberbank-ai/rugpt3small_based_on_gpt2 downloaded from huggingface.co.

The model fine tuning process is described in google colab notebook congrats_generator/my_gpt3.ipynb.

Web crawler is located in congrats_generator/crawler directory.

Stages to build and start up the generator:

• Clone this repository into your local machine.

  • Learn more about git clone

• Make directory for the model and specify model and tokenizer path in congrats_generator/crawler/config.json. Put the model according to the path.

• Build the app container. Start app process is realized with docker and docker compose services which allow the app to be more scalable further. You can use docker-compose build command to build your app, and docker-compose up to start the app.

  • Docker run reference

  • Docker-compose

  • Docker-compose build

  • Docker-compose up